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Artificial Neural Networks and Deep Learning
17. Flow-Matching
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Inicializando a pesquisa
    insper/ann-dl
    insper/ann-dl
    • ANN-DL
      • Overview
        • 1. Concepts
          • Overview
          • Feature Types
          • Distributions
          • Train/Val/Test Split
          • Data Leakage
          • Data Quality
          • Class Imbalance
        • 3. Preprocessing
        • 4. Neural Networks
        • 5. Perceptron
        • 6. Multi-Layer Perceptron
        • 7. Optimization
        • 8. Regularization
          • 9.1. Classification
          • 9.2. Regression
          • 9.3. Generative
          • 9.4. LLM
        • 10. Deep Learning
        • 11. Convolutional
        • 12. Attention Mechanisms
        • 13. Transformers
        • 14. Transfer Learning
        • 15. LLMs
        • 16. Generative Models
        • 17. VAE
        • 18. GAN
        • 19. CLIP
        • 20. Stable Diffusion
        • 21. Flow-Matching
        • 22. Diffusion Transformers
        • 23. Autoregressive Generation
        • 1. Data
        • 2. Perceptron
        • 3. MLP
        • 4. Transformers & Attention
        • 5. VAE
        • 6. LLM Fine-Tuning
        • 1. Classification
        • 2. Regression
        • 3. Generative
      • Overview
        • 1. Concepts
        • 2. Data
        • 3. Preprocessing
        • 4. Neural Networks
        • 5. Perceptron
        • 6. Multi-Layer Perceptron
        • 7. Optimization
        • 8. Regularization
          • 9.1. Classification
          • 9.2. Regression
          • 9.3. Generative
        • 10. Deep Learning
        • 11. Convolutional
        • 12. Generative Models
        • 13. GAN
        • 14. VAE
        • 15. CLIP
        • 16. Stable Diffusion
        • 17. Flow-Matching
        • 1. Data
        • 2. Perceptron
        • 3. MLP
        • 4. VAE
        • 1. Classification
        • 2. Regression
        • 3. Generative
      • Latent Space vs. Embedding
      • Stable Diffusion vs. Flow-Matching
    • References
    • Terms and Conditions
    1. ANN-DL
    2. 2025.2
    3. Classes

    17. Flow-Matching

    1. Flow-Matching: A New Paradigm for Generative Modeling, 2022. ↩

    2. Flux: A General Framework for Diffusion Models, 2024. ↩

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